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Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using Clustering

Metadata Updated: May 9, 2023

Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using ClusteringAbstract: Traditionally, in reverberation chambers (RC) measurement autocorrelation or correlation-matrix methods have been applied to evaluate measurement correlation. In this article, we introduce the use of clustering based on correlative distance to group correlated measurements. We apply the method to measurements taken in an RC using one and two paddles to stir the electromagnetic fields and applying decreasing angular steps between consecutive paddles positions. The results using varying correlation threshold values demonstrate that the method calculates the number of effective samples and allows discerning outliers, i.e., uncorrelated measurements, and clusters of correlated measurements. This calculation method, if verified, will allow non-sequential stir sequence design and, thereby, reduce testing time.Keywords: Correlation, Pearson correlation coefficient (PCC), reverberation chambers (RC), mode-stirring samples, correlative distance, clustering analysis, adjacency matrix.

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Public: This dataset is intended for public access and use. License: See this page for license information.

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Dates

Metadata Created Date May 9, 2023
Metadata Updated Date May 9, 2023
Data Update Frequency irregular

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date May 9, 2023
Metadata Updated Date May 9, 2023
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2986
Data First Published 2023-04-21
Language en
Data Last Modified 2023-04-06 00:00:00
Category Electronics:Electromagnetics
Public Access Level public
Data Update Frequency irregular
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id a94bb6e4-e011-431a-8d52-5263cfc4c56d
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2986
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 19123cac6514a63eda722b94879959f1387c1ff4
Source Schema Version 1.1

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